Carbon and nitrogen isotopic composition of commercial dog food in Brazil

• Published in: PeerJ (San Francisco, CA) Vol. 7; p. e5828
• Main Authors: Galera, Leonardo de Aro, Abdalla Filho, Adibe Luiz, Reis, Luiza Santos, de Souza, Janaina Leite, Hernandez, Yeleine Almoza, Martinelli, Luiz Antonio
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 20.02.2019; PeerJ, Inc; PeerJ Inc
• Subjects: Agricultural Science; Bayesian analysis; Beef; Carbohydrates; Carbon-13; Competition; Consumers; Corn; Dog food; Dogs; False advertising; Flavorings; Food composition; Food consumption; Food industry; Food plants; Food Science and Technology; Isotopes; Labels; Meat; Meat products; Nitrogen-15; Nutrition; Pet food; Pet food market; Pet industry; Pet supplies industry; Pets; Poultry; Salmon; Social class; Veterinary Medicine; Wheat; Brazil; Pets; Bovine; Grains; Corn; Carbon-13; Nitrogen-15; Chicken; Food composition; Labels; Pet food market
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.5828

Brazil is a low- to medium-income country and has the second largest pet food market in the world with 8% of world pet food consumption. The lowest-income social class spends around 17% of their domestic budget on pet food and other items related to pets. Consumers are frequently misled by advertising as there is no precise information about the main sources of protein, carbohydrates and fat in the labels, and the Brazilian pet food industry can legally claim that their products contain certain items like salmon or beef even if they use just a flavoring compound. The stable isotope methodology compares the stable isotope ratios of carbon ( C/ C) and nitrogen ( N/ N) between source and product. The C/ C ratio of a specific product (e.g., dog food) reveals the proportions of C (maize) and C (soybean, rice and wheat) plants in that product and the N/ N ratio reveals the proportion of the compounds derived from animals. With this isotopic data, we used MixSIAR, a Bayesian stable isotope-mixing model, to estimate the proportion of maize, grains, poultry and beef in dog food. The δ C values of dry dog food ranged from -24.2‰ to -12.8‰, with an average (± standard-deviation) of -17.1‰ ± 2.8‰. The δ C values of wet pet food ranged from -25.4‰ to -16.9‰, with an average (± standard-deviation) of -21.2‰ ± 2.4‰, which was significantly lower ( < 0.01). The δ N values of the dry and wet food ranged from 1.7‰ to 4.2‰, and from 0.5‰ to 5.5‰, respectively. The average δ N values of dry food (2.9‰ ± 0.5‰) was not higher than the wet food (2.6‰ ± 1.3‰) ( > 0.01). The output of the MixSIAR showed a low proportion of bovine products in dry dog food samples. On the other hand, poultry was obviously the dominant ingredient present in most of the samples. Maize was the second dominant ingredient. Wet and dry dog food showed similar isotopic analysis results. The only difference was a lower proportion of maize and higher proportion of grains in wet dog food. The main finding is that dog food in Brazil is mostly made of approximately 60% (ranging from 32% to 86%) animal-based and 40% (ranging from 14% to 67%) plant-based products. Poultry and maize are the main ingredients. Poultry is added as a by-product or meal, which avoids competition between dogs and humans for meat products, while they can compete for maize. On the other hand, a large proportion of plant-based products in dog food decreases the energy and environmental footprint, since plant-based food products tend to be less harmful compared to animal-based products. Labels can mislead consumers by showing pictures of items that are not necessarily part of the product composition and by not showing the detailed information on the proportion of each ingredient. This information would allow customers to make their own choices considering their pet's nutrition, the competition between animals and humans for resources and environmental sustainability.